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based on these models. Performing parameter estimation and uncertainty quantification using Bayesian inference techniques based on experimental and/or synthetic data. Investigating efficient data
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training or research in simulation modeling, parameter estimation, and uncertainty quantification. Proficiency in programming in R (preferred) or Python. Excellent skills in data management and analysis
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, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming
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. Desirable: Research experience in quantum metrology, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational
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work with computationally intensive analysis routines Evidence of skills in image or bio-signal (e.g. ECG) analysis Evidence of skills in model personalisation: parameter estimation, uncertainty